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Security Scan Report: jocomo911.gov

Redirected to: https://jocomo911.gov/lander

Submitted: Oct 3, 2025, 1:11:06 PMCompleted: Oct 3, 2025, 1:12:39 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 6 domains to perform 13 HTTP transactions. The main domain is jocomo911.gov and was registered NaN years ago.

Submitted URL: https://jocomo911.gov/

Effective URL: https://jocomo911.gov/landerRedirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious indicators detected; site appears low risk but limited information warrants caution.

Risk Factors
Domain is unranked in Cisco Umbrella
Domain age unknown
No visible content extracted (could be empty or placeholder)
Safety Factors
No malicious Indicators of Compromise detected
No password, payment, or personal data collection fields
No external links or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Screenshot

Security scan screenshot of https://jocomo911.gov/

Page Load Overview

38.83s
Total Load Time
13
HTTP Requests
6
Domains
230 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
0
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
013.226.244.99United States
AS16509AMAZON-02
015.197.148.33United States
AS16509AMAZON-02
0142.250.186.36United States
AS15169GOOGLE
023.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
03.33.130.190United States
AS16509AMAZON-02
013.226.244.60United States
AS16509AMAZON-02
013.32.121.112New York, New York, United States
AS16509AMAZON-02
023.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
013.126.96.28Mumbai, Maharashtra, India
AS16509AMAZON-02
065.0.241.214Mumbai, Maharashtra, India
AS16509AMAZON-02
1316--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136F0C0D3DC61C51D0B60C2D9F832F72C8006E52DDDA1E840B491006744E8AE74C6A854

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:n0VA2ZARUbAiSTsSQQ9WSPD3Lq9NVe2KPD3LqWTW:n0VA8oTs49WSKVpKSWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:539:AAAAAAAAAEAACAEAAAAAAAIAABAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAQAABAAAAABACAAAAAAAAAAACAABACAAAAAAAA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#79a1d2

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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